FlowSOM

DOI: 10.18129/B9.bioc.FlowSOM    

Using self-organizing maps for visualization and interpretation of cytometry data

Bioconductor version: Release (3.11)

FlowSOM offers visualization options for cytometry data, by using Self-Organizing Map clustering and Minimal Spanning Trees.

Author: Sofie Van Gassen, Britt Callebaut and Yvan Saeys

Maintainer: Sofie Van Gassen <sofie.vangassen at ugent.be>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("FlowSOM")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("FlowSOM")

 

PDF	R Script	FlowSOM
PDF		Reference Manual
Text		NEWS

Details

biocViews	CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization
Version	1.20.0
In Bioconductor since	BioC 3.1 (R-3.2) (5.5 years)
License	GPL (>= 2)
Depends	R (>= 3.2), igraph
Imports	stats, utils, flowCore, ConsensusClusterPlus, BiocGenerics, tsne, CytoML, flowWorkspace, XML, RColorBrewer
LinkingTo
Suggests	BiocStyle
SystemRequirements
Enhances
URL	http://www.r-project.org http://dambi.ugent.be
Depends On Me
Imports Me	CATALYST, cytofast, diffcyt, flowSpy, MetaCyto
Suggests Me	HDCytoData
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	FlowSOM_1.20.0.tar.gz
Windows Binary	FlowSOM_1.20.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	FlowSOM_1.20.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/FlowSOM
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/FlowSOM
Package Short Url	https://bioconductor.org/packages/FlowSOM/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive